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ContextualAI / gritlm

Generative Representational Instruction Tuning
https://arxiv.org/abs/2402.09906
MIT License
479 stars 33 forks source link

projection layer #35

Open CementMaker opened 1 month ago

CementMaker commented 1 month ago

if i use projection layer for ddp it will cause: RuntimeError: Expected to mark a variable ready only once. This error is caused by one of the following reasons: 1) Use of a module parameter outside the forward function. Please make sure model parameters are not shared across multiple concurrent forward-backward passes. or try to use _set_static_graph() as a workaround if this module graph does not change during training loop.2) Reused parameters in multiple reentrant backward passes. For example, if you use multiple checkpoint functions to wrap the same part of your model, it would result in the same set of parameters been used by different reentrant backward passes multiple times, and hence marking a variable ready multiple times. DDP does not support such use cases in default. You can try to use _set_static_graph() as a workaround if your module graph does not change over iterations.

Muennighoff commented 1 month ago

You can probably fix this by deactivating activation/gradient checkpointing